Code of Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
CMHF-net\ : Code of Consistent MS/HS Fusion Net
BMHF-net\ : Code of Blind MS/HS Fusion Net
Consistent MHF-net and Blind MHF-net. The former is suitable in the case that spectral and spatial responses of training and testing data are consistent, just as considered in most of the pervious general supervised MS/HS fusion researches. The latter ensures a good generalization in mismatch cases of spectral and spatial responses in training and testing data, and even across different sensors, which is generally considered to be a challenging issue for general supervised MS/HS fusion methods.
Citation:
Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng*, Wangmeng Zuo and Zongben Xu
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net[C]
2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, 2019.
Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu and Deyu Meng*
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion
IEEE transactions on pattern analysis and machine intelligence, 2020.
BibTeX:
@inproceedings{xie2019multispectral,
title={Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net},
author={Xie, Qi and Minghao, Zhou and Zhao, Qian and Meng, Deyu and Zuo, Wangmeng and Xu, Zongben },
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2019}
}
@article{xie2020MHFnet,
title={MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion},
author={Xie, Qi and Minghao, Zhou and Zhao, Qian and Xu, Zongben and Meng, Deyu},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2020},
publisher={IEEE}
}